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HEAD
---
license: mit
---
---
language:
- multilingual
license: apache-2.0
tags:
- voice
- classification
- vocalization
- speech
- audio
datasets:
- NonverbalVocalization
widget:
- src: >-
https://huggingface.co/padmalcom/wav2vec2-large-nonverbalvocalization-classification/resolve/main/test.wav
example_title: Sample 1
pipeline_tag: audio-classification
metrics:
- accuracy
---
This language indendent wav2vec2 classification model is based on [this dataset](https://github.com/deeplyinc/Nonverbal-Vocalization-Dataset).
Sound classes are:
- teeth-chattering
- teeth-grinding
- tongue-clicking
- nose-blowing
- coughing
- yawning
- throat clearing
- sighing
- lip-popping
- lip-smacking
- panting
- crying
- laughing
- sneezing
- moaning
- screaming
*inference.py* shows, how the model can be used.
18e5a42 (Initial commit of Nonverbal-AudioCLwav2vec2 model)
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